Remote Fraud Data Analyst – FinTech Analytics

Sezzle; Bogotá ciudad; Presencial; COP 42.000.000 - 66.000.000; Jornada completa

Descripción de la vacante

Sezzle seeks a detail-oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and Python, protecting customers and the company from financial loss.

English resumes only—you’ll work in a fast-paced fintech environment, leveraging AI tools like Claude to enhance detection and reporting while collaborating across teams to reduce risk and improve trust.

Formación

• Minimum of two years in fraud detection, prevention, or investigation.
• Experience with SQL and Python.
• Understanding of common fraud typologies.
• Experience with Claude or equivalent LLM tools is required.

Responsabilidades

• Monitor transactions and accounts to identify suspicious activity.
• Investigate fraud patterns and develop prevention rules.
• Analyze large datasets with SQL to uncover insights.
• Stay current with fraud trends and technologies.

Conocimientos

SQL

Python

Analytical thinking

Attention to detail

Communication

AI tooling (Claude)

Educación

Bachelor's degree in Economics, Computer Science, Analytics, or related field

Herramientas

Fraud detection tools

Descripción del empleo

Sezzle seeks a detail-oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and Python, protecting customers and the company from financial loss.

English resumes only—you’ll work in a fast-paced fintech environment, leveraging AI tools like Claude to enhance detection and reporting while collaborating across teams to reduce risk and improve trust.